This paper is in the following e-collection/theme issue:

Advance Care Planning for Older Adults (4) Artificial Intelligence (2129) Big Data Analytics for Elder Care (37) Focus Groups and Qualitative Research for Human Factors Research (1220) Generative Language Models Including ChatGPT (708) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997) Development and Evaluation of Research Methods, Instruments and Tools (744) Research Methodology - AI (36)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76335, first published .
Free-Text Responses in a Nationally Representative Experimental Survey about End-of-Life Care Choices: ChatGPT-4o-Assisted Qualitative Analytical Study

Free-Text Responses in a Nationally Representative Experimental Survey about End-of-Life Care Choices: ChatGPT-4o-Assisted Qualitative Analytical Study

Free-Text Responses in a Nationally Representative Experimental Survey about End-of-Life Care Choices: ChatGPT-4o-Assisted Qualitative Analytical Study

Authors of this article:

Elizabeth M Goldberg1 Author Orcid Image ;   Mario Macis2 Author Orcid Image ;   Megan Bounds1 Author Orcid Image ;   Jonathan Gomez Picazo1 Author Orcid Image ;   Lauren Hersch Nicholas3, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Elizabeth M Goldberg   1 , MD, ScM ;   Mario Macis   2 , PhD ;   Megan Bounds   1 , MPH ;   Jonathan Gomez Picazo   1 , BS ;   Lauren Hersch Nicholas   3, 4 , PhD, MPP

1 Department of Emergency Medicine, CU Anschutz, Aurora, CO, United States

2 Department of Economics and Management, Carey Business School, Johns Hopkins University, Baltimore, MD, United States

3 Division of Geriatrics, Department of Medicine, CU Anschutz, Aurora, CO, United States

4 Center for Bioethics and Humanities, CU Anschutz, Aurora, CO, United States

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